Image restoring method based on symmetric sample pieces
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A restoration method and sample block technology, applied in image enhancement, image data processing, instruments, etc., can solve problems such as ear loss, difficult image restoration, and ineffective restoration of symmetrical images
Active Publication Date: 2014-12-10
NORTHWEST UNIVERSITY FOR NATIONALITIES
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However image inpainting is still a difficult thing
[0003] Existing digital image restoration technology cannot effectively repair a large number of symmetrical images, such as Thangka images, murals, etc. Many images have certain symmetri...
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Embodiment 1
[0097] 1 pair Figure 8 The original corrupted image is preprocessed as shown
[0098] Figure 8 It is a color image of Thangka of Shakyamuni Buddha, the left ear, face, eyes and some eyebrows are missing; the preprocessing of the original damaged image mainly includes smoothing and grayscale processing of the image, the smoothing process is to eliminate noise, In order to achieve a better image segmentation effect; because the segmentation of the damaged area is carried out on the grayscale image, the preprocessing part includes the grayscale processing of the original damaged image. The preprocessing process is: 1.1 Gaussian smoothing of the image
[0099] Because Gaussian smoothing preserves edges better, this embodiment selects a 5×5 Gaussian smoothing template mask image:
[0100] 1 273 × 1 4 7 ...
Embodiment 2
[0151] Example 2, Figure 10 Shown is a Thangka image of Manjushri Bodhisattva, one side of the head crown is damaged, and the head is slightly tilted, according to the method provided in step 1 and step 2 of Example 1 Figure 10 The original damaged image shown is preprocessed and the damaged area is segmented; then enter the steps:
[0152] 3. Damaged area repair
[0153] 3.1 Obtain the boundary point of the damaged area, the same as in Example 1;
[0154] 3.2 Obtain the point with the highest priority on the boundary of the damaged area and the first repaired damaged block, the same as in embodiment 1;
[0155] 3.3 Find the best symmetrical sample block in any direction for image restoration
[0156] 3.3.1 Finding the best symmetrical sample block in any direction
[0157] 3.3.1.1 At any point p in I-Ω 1 Centered sample block selection
[0158] Such as image 3 as shown, p 0 is the center point of the first repaired block, p 1 is the center point of the sample bl...
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Abstract
The invention provides an image restoring method based on symmetric sample pieces. The image restoring method comprises the following steps: original damaged image pre-processing, damaged zone segmentation and damaged zone restoration, wherein the original damaged image pre-processing comprises image Gauss smoothening, image graying processing; then damaged zone segmentation and damaged zone restoration are conducted; the damaged zone restoration is a recycling process which comprises the following steps: acquiring boundary points in the damaged zone, acquiring a point with highest priority in the boundary of the damaged zone and the first restored damaged piece as well as selecting a method for searching optimal symmetric sample pieces; the method for searching the optimal symmetric sample pieces comprises two methods, namely, searching symmetric sample pieces at any direction or searching symmetric sample pieces in eight directions, and each of the two methods comprises the following steps: updating pixel of the damaged pieces, updating area of the damaged zone and judging whether the area of the damaged zone is zero, if the area of the damaged zone is zero, stopping the restoration; if the area of the damaged zone is not zero, returning to the acquired boundary points for conducting the recycling process. The restoring experiment shows the effectiveness of the image restoring method.
Description
technical field [0001] The invention belongs to the field of digital image processing and digital image restoration, in particular to an image restoration method based on symmetrical sample blocks. Background technique [0002] Since the introduction of the concept of "image restoration" into digital image processing in 2000, digital image restoration has been widely used in just over a decade, mainly including: digital restoration of ancient paintings, restoration of damaged photos and videos, text and object displacement in images, etc. Except etc. The so-called digital image restoration is the process of filling in information on the defective area on the image. The purpose is to restore the defective image, and it is visually impossible to detect the effect that the image has been damaged or has been repaired. Among the image repair technologies, one is the repair algorithm based on partial differential equations or the variational repair technology based on the geometr...
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